A Fuzzy Based Decision Support System for Evaluating Land Suitability and Selecting Crops

Abstract

Evaluating land suitability and selecung crops tn modem agriculture is of critical importance to every organizalion. This is because the narrower area of land, the more effectiveness in planting 1s required in accordance with the desires of the land. Process of evalunting land suitability class and selecting plants in accordance with decision marker's requirements is complex and unstructured. Approach: This study presented a fuzzy-based Decision Support System (DSS) for evaluating land suitability and selecting crops to be planted. A fuzzy rules was developed for evaluating land suitability and selecting lhe appropriate crops to be planted considering the decision maker's requirements in crops selection with the efficient use of the powerful reasoning and explanation capabilities of DSS. The idea of letting the problem to be solved determines the method to be used was incorporated into the DSS development. Results: As a resull, effective decisions can be made for land suilabilily evaluation and crop selecuon problem An example was presented to demonstrate the applicability of the proposed DSS for solving the problem of evaluating land suitability nnd selecting crops in real world situations. Conclusion: Fuzzy based model can represent and manipulate agriculture knowledge that 1s incomplete or vague and ll can be used lo determine land limitation raung. The rating value wa~ use<l to determine limitation level of the land and used to determine what the most suitable crops to cultivate for the existing condition of the land.